Are Ai Tools Going to Be the New Designers? A Taxonomy for Measuring the Level of Automation of Design Activities

Altavilla, Stefania; Blanco, Eric

doi:10.1017/dsd.2020.286

Cited by 3 publications

(2 citation statements)

References 17 publications

(27 reference statements)

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“…Finally, an interesting and important point of potential misuse of CPD in HCD was raised by participants. Part of that perception may stem from general concerns that tools (especially AI-based tools) are making the design too easy-and that may be destroying design [3,70]. There are two things to address.…”

Section: Discussionmentioning

confidence: 99%

AI-Assisted Causal Pathway Diagram for Human-Centered Design

Zhong,

Shin,

Meza

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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This paper explores the integration of causal pathway diagrams (CPD) into human-centered design (HCD), investigating how these diagrams can enhance the early stages of the design process. A dedicated CPD plugin for the online collaborative whiteboard platform Miro was developed to streamline diagram creation and offer real-time AI-driven guidance. Through a user study with designers (𝑁 = 20), we found that CPD's branching and its emphasis on causal connections supported both divergent and convergent processes during design. CPD can also facilitate communication among stakeholders. Additionally, we found our plugin significantly reduces designers' cognitive workload and increases their creativity during brainstorming, highlighting the implications of AI-assisted tools in supporting creative work and evidence-based designs. CCS CONCEPTS• Human-centered computing → Systems and tools for interaction design; HCI design and evaluation methods.

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Section: Discussionmentioning

confidence: 99%

AI-Assisted Causal Pathway Diagram for Human-Centered Design

Zhong,

Shin,

Meza

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…AI-tools are already used in knowledge-intensive design, complementing cognitive capabilities of designers (Karan and Asadi, 2019). Altavilla and Blanco (2020) posited that using AI-tools can reach the automation level where the tool alone generates or selects the final design outcome and presents the result to the stakeholders at the end of the process.…”

Section: Primary Types Of Connectorsmentioning

confidence: 99%

Connectors of smart design and smart systems

Horváth

2021

AIEDAM

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Though they can be traced back to different roots, both smart design and smart systems have to do with the recent developments of artificial intelligence. There are two major questions related to them: (i) What way are smart design and smart systems enabled by artificial narrow, general, or super intelligence? and (ii) How can smart design be used in the realization of smart systems? and How can smart systems contribute to smart designing? A difficulty is that there are no exact definitions for these novel concepts in the literature. The endeavor to analyze the current situation and to answer the above questions stimulated an exploratory research whose first findings are summarized in this paper. Its first part elaborates on a plausible interpretation of the concept of smartness and provides an overview of the characteristics of smart design as a creative problem solving methodology supported by artificial intelligence. The second part exposes the paradigmatic features and system engineering issues of smart systems, which are equipped with application-specific synthetic system knowledge and reasoning mechanisms. The third part presents and elaborates on a conceptual model of AI-based couplings of smart design and smart systems. The couplings may manifest in various concrete forms in real life that are referred to as “connectors” in this paper. The principal types of connectors are exemplified and discussed. It has been found that smart design tends to manifest as a methodology of blue-printing smart systems and that smart systems will be intellectualized the enablers of implementation of smart design. Understanding the affordances of and creating proper connectors between smart design and smart systems need further explorative research.

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